research-article

Using social media sentiment analysis for interaction design choices: an exploratory framework

Authors:

Constance KampfAuthors Info & Claims

SIGDOC '15: Proceedings of the 33rd Annual International Conference on the Design of Communication

Article No.: 36, Pages 1 - 7

https://doi.org/10.1145/2775441.2775472

Published: 16 July 2015 Publication History

Abstract

Social media analytics is an emerging skill for organizations. Currently, developers are exploring ways to create tools for simplifying social media analysis. These tools tend to focus on gathering data, and using systems to make it meaningful. However, we contend that making social media data meaningful is by nature a human-computer interaction problem. We examine this problem around the emerging field of sentiment analysis, exploring criteria for designing sentiment analysis systems based in Human Computer interaction, HCI. We contend that effective sentiment analysis affects audience analysis, and can serve as a basis for communication design choices that support strategic relationship goals for organizations

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Cited By

Liu ZYang ZZhang K(2021)Potential Design Strategies Based on Communication Design and Art Therapy for User Experience in COVID-19HCI International 2021 - Late Breaking Papers: Design and User Experience10.1007/978-3-030-90238-4_9(101-115)Online publication date: 20-Nov-2021
https://doi.org/10.1007/978-3-030-90238-4_9
Roundtree A(2016)Social Health Content and Activity on FacebookJournal of Technical Writing and Communication10.1177/004728161664192547:3(300-329)Online publication date: 13-Apr-2016
https://doi.org/10.1177/0047281616641925
Spiliotopoulos DAntonakaki DIoannidis SFragopoulou P(2016)Usability Evaluation of Accessible Complex GraphsComputers Helping People with Special Needs10.1007/978-3-319-41264-1_77(571-574)Online publication date: 6-Jul-2016
https://doi.org/10.1007/978-3-319-41264-1_77

Index Terms

Using social media sentiment analysis for interaction design choices: an exploratory framework
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
  2. Interaction design
    1. Interaction design theory, concepts and paradigms

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Published In

cover image ACM Conferences

SIGDOC '15: Proceedings of the 33rd Annual International Conference on the Design of Communication

July 2015

239 pages

ISBN:9781450336482

DOI:10.1145/2775441

Conference Chairs:
Kathie Gossett
Iowa State University
,
Angie Mallory
Iowa State University
,
Program Chair:
Dawn M. Armfield
Frostburg State University

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Arizona State University: Arizona State University
North Dakota State University: North Dakota State University
University of Limerick: University of Limerick
Chongqing Acad. Sci. Technol.: Chongqing Academy of Science and Technology
Microsoft Research: Microsoft Research
XA: Experience Architecture Program, Michigan State University
Iowa State University: Iowa State University
SIGDOC: ACM Special Interest Group for Design of Communications
University of Central Florida: University of Central Florida

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2015

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SIGDOC '15

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Arizona State University
North Dakota State University
University of Limerick
Chongqing Acad. Sci. Technol.
Microsoft Research
XA
Iowa State University
SIGDOC
University of Central Florida

SIGDOC '15: The 33rd ACM International Conference on the Design of Communication

July 16 - 17, 2015

Limerick, Ireland

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SIGDOC '15 Paper Acceptance Rate 49 of 82 submissions, 60%;

Overall Acceptance Rate 355 of 582 submissions, 61%

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Cited By

Liu ZYang ZZhang K(2021)Potential Design Strategies Based on Communication Design and Art Therapy for User Experience in COVID-19HCI International 2021 - Late Breaking Papers: Design and User Experience10.1007/978-3-030-90238-4_9(101-115)Online publication date: 20-Nov-2021
https://doi.org/10.1007/978-3-030-90238-4_9
Roundtree A(2016)Social Health Content and Activity on FacebookJournal of Technical Writing and Communication10.1177/004728161664192547:3(300-329)Online publication date: 13-Apr-2016
https://doi.org/10.1177/0047281616641925
Spiliotopoulos DAntonakaki DIoannidis SFragopoulou P(2016)Usability Evaluation of Accessible Complex GraphsComputers Helping People with Special Needs10.1007/978-3-319-41264-1_77(571-574)Online publication date: 6-Jul-2016
https://doi.org/10.1007/978-3-319-41264-1_77

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